Omni Secures $120M to Solve Enterprise Data Translation Challenges

(SeaPRwire) –   For years, businesses have invested heavily in business intelligence tools, dashboards, and data warehouses, only to realize that the primary challenge wasn’t visualization or storage—it was data translation.

Omni was designed to resolve this gap, and investors are now placing significant bets on the company’s approach. The startup has secured $120 million in a Series C funding round led by Iconiq, bringing its valuation to $1.51 billion. This milestone arrives four years after the company’s inception.

Omni provides a semantic layer, which acts as a governed translation interface between raw enterprise data and any user or system querying it. It functions as a dynamic rulebook that establishes definitions for key metrics, determines access permissions, and standardizes revenue calculations. Omni’s client base includes companies such as Checkr, BambooHR, Guitar Center, Heidi AI, and Mercury, with BambooHR alone supporting over 100,000 users through the platform.

The company was founded by Princeton alumni Colin Zima, Jamie Davidson, and Chris Merrick. The trio reunited following Google’s $2.6 billion acquisition of Looker, where Zima and Davidson previously worked. Zima, now CEO of Omni, formerly served as Looker’s vice president of product and chief analytics officer.

Omni faces stiff competition, including OpenAI’s “Frontier”—a semantic layer for enterprise AI—as well as integrated offerings from Databricks and Snowflake. However, Omni counters this bundling pressure with its architectural design. Iconiq partner Matt Jacobson notes that established players would need to overhaul their entire product foundations to replicate what Omni built from scratch, a situation he likens to Snowflake’s early competitive edge over Amazon Redshift.

Zima views the current market as a major turning point. He noted that while the demand has always existed, the necessary tools were previously unavailable. Now, the timing appears right; Omni’s annual recurring revenue has nearly quadrupled over the last year, and the firm achieved profitability last month. The company currently maintains a workforce of approximately 200 employees across offices in Sydney, Dublin, and San Francisco.

For Zima, the rise of AI serves as a catalyst for Omni. He explained that as enterprises increasingly implement AI agents to process data, the necessity for a governed semantic layer to support those agents becomes even more critical.

Jacobson highlights the scale of this shift, noting that the market opportunity is significantly larger than traditional business intelligence. According to the Futurum Group, the business intelligence software market is valued at roughly $47 billion in 2025, with the semantic layer segment expected to see 30% annual growth through 2031.

The speed of enterprise adoption has also accelerated, with Jacobson observing that implementation timelines have shrunk from years, quarters, or months down to mere days and weeks.

See you tomorrow,

Lily Mae Lazarus
X: @LilyMaeLazarus
Email: lily.lazarus@.com
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